Introduction

In this work, several modelling approaches are explored to represent spatial pattern dynamics of aquatic populations in aquatic ecosystems by the combination of models, knowledge and data in different scales.

Enhancing Harmful Algal Bloom Models

It is shown that including spatially distributed inputs retrieved from Remote Sensing images, a conventional physically-based Harmful Algal Bloom model can be enhanced.

Cellular Automata Models

Also, Cellular Automata based models using high resolution photographs prove to be good in representing aquatic plant growth.

Multi-Agent Systems

Multi-Agent Systems can capture well the spatial patterns exhibited in GIS density maps.

Synthesis Modelling Framework

A synthesis modelling framework was developed to include biological/ecological growth and diffusive processes, and local effects in conventional modelling framework.

Conclusion

The results of the complementary modelling paradigms investigated in this research can be of help in achieving a sustainable environmental management strategy.